{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "# import bcolz\n",
    "import seaborn as sns\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline\n",
    "data_path = 'data/'\n",
    "seed=1204\n",
    "# def save_array(fname, arr):\n",
    "#     \"\"\"\n",
    "#     save numpy array to file\n",
    "#     \"\"\"\n",
    "#     c=bcolz.carray(arr, rootdir=fname, mode='w')\n",
    "#     c.flush()\n",
    "\n",
    "# def load_array(fname):\n",
    "#     return bcolz.open(fname)[:]\n",
    "\n",
    "def get_submission(test,item_cnt_month):\n",
    "    sub = test.copy()\n",
    "    sub['item_cnt_month'] = item_cnt_month\n",
    "    sub.drop(['item_id','shop_id'],axis=1,inplace=True)\n",
    "    sub.to_csv(data_path + 'submission.csv',index=False)\n",
    "    return sub"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "transactions    = pd.read_csv(os.path.join(data_path, 'sales_train.csv.gz'))\n",
    "items           = pd.read_csv(os.path.join(data_path, 'items.csv'),encoding ='ISO-8859-1')\n",
    "item_categories = pd.read_csv(os.path.join(data_path, 'item_categories.csv'),encoding ='ISO-8859-1')\n",
    "shops           = pd.read_csv(os.path.join(data_path, 'shops.csv'),encoding ='ISO-8859-1')\n",
    "test            = pd.read_csv(os.path.join(data_path, 'test.csv.gz'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2935849, 6)\n",
      "(214200, 3)\n"
     ]
    }
   ],
   "source": [
    "print(transactions.shape)\n",
    "print(test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "transactions['date_format'] = pd.to_datetime(transactions.date,format='%d.%m.%Y')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Facts:\n",
    "\n",
    "Data has no missing values\n",
    "\n",
    "Not all shop_id in train set are used in test set. Test set excludes following shops (not vice versa)\n",
    "[0, 1, 8, 9, 11, 13, 17, 20, 23, 27, 29, 30, 32, 33, 40, 43, 51, 54]\n",
    "\n",
    "Not all item in train set are in test set and vice versa\n",
    "\n",
    "In test set, a fixed set of items (5100) are used for each shop_id, and each item only appears one per each shop\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>date_block_num</th>\n",
       "      <th>shop_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>item_price</th>\n",
       "      <th>item_cnt_day</th>\n",
       "      <th>date_format</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>02.01.2013</td>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "      <td>22154</td>\n",
       "      <td>999.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2013-01-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03.01.2013</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>2552</td>\n",
       "      <td>899.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2013-01-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>05.01.2013</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>2552</td>\n",
       "      <td>899.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>2013-01-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date  date_block_num  shop_id  item_id  item_price  item_cnt_day  \\\n",
       "0  02.01.2013               0       59    22154       999.0           1.0   \n",
       "1  03.01.2013               0       25     2552       899.0           1.0   \n",
       "2  05.01.2013               0       25     2552       899.0          -1.0   \n",
       "\n",
       "  date_format  \n",
       "0  2013-01-02  \n",
       "1  2013-01-03  \n",
       "2  2013-01-05  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transactions.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    2.935849e+06\n",
       "mean     1.242641e+00\n",
       "std      2.618834e+00\n",
       "min     -2.200000e+01\n",
       "25%      1.000000e+00\n",
       "50%      1.000000e+00\n",
       "75%      1.000000e+00\n",
       "max      2.169000e+03\n",
       "Name: item_cnt_day, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transactions.item_cnt_day.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sum of items count per month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BmRsFgvpVCeo3sdpa+M2fT6HTqPjWF8Z3+sXpzkmD+fpnbqPF6ebZbYc5c9kW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\ng4M7c7rQxjdHi9h7tIjjZ8q5HMqRbVv+J+Db0bN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Ihg0b+OyzzygrK2PKlCls2bKFtm3b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\nKNRFRERMQqEuIiJiEv8PbkRQ9OrleOQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcf10642ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('seaborn')\n",
    "\n",
    "transactions.copy().set_index('date_format').item_cnt_day.resample('M') \\\n",
    "                            .sum().plot();\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mean of items count per month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YBpovYlmO3g4nRBG4MlVforBwtgStxOeAlDkvhmtPFCZZd5IgjNAcQRQRjvG6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\nEsPiTEREJDEszkRERBLD4kxERCQx/wfsRJ8QEtX75wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcf10642fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('seaborn')\n",
    "transactions.copy().set_index('date_format').item_cnt_day.resample('M') \\\n",
    "                            .mean().plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sum and mean of October items count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1tRU2mw0A4HA44HK54Ha7kZaWJn8mPT095LjZbIbJZILH45E/3xVRlGCzmiHB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\nD/7ESds+zWM5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcf0fd312e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Kkq6ZfG7I4wNFDOGxY8d2uARp4cKFWrhwYaSPMXknZqV2IoQbm1364nS9XwqHu4cj0Jdx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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcf0f6865c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get oct sales per each day\n",
    "plt.style.use('seaborn')\n",
    "transactions[list(map(lambda x: x.month in [10] , transactions.date_format))].set_index('date_format').item_cnt_day.resample('D') \\\n",
    "                            .sum().plot();\n",
    "plt.ylim(0, 9000)\n",
    "plt.show()\n",
    "transactions[list(map(lambda x: x.month in [10] , transactions.date_format))].set_index('date_format').item_cnt_day.resample('D') \\\n",
    "                            .mean().plot();\n",
    "plt.ylim(0, 2.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sum and mean of November items count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bvlruJGpRq4gM86oTjQCAXt1TYVdk+ANqVJd5p+j6/tEtg/XbPD6/3k2gTRYD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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcf0f546550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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MzQWZm3u+SKCW6Dm/r2ipJVrqkKKnlmipwxJN9URLLdFSh9T4WpKyCiR5V9uUVVSrY8d2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\nTvYOUgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcf0fc3afd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get nov sales per each day\n",
    "plt.style.use('seaborn')\n",
    "transactions[list(map(lambda x: x.month in [11] , transactions.date_format))].set_index('date_format').item_cnt_day.resample('D') \\\n",
    "                            .sum().plot();\n",
    "plt.ylim(0, 9000)\n",
    "plt.show()\n",
    "transactions[list(map(lambda x: x.month in [11] , transactions.date_format))].set_index('date_format').item_cnt_day.resample('D') \\\n",
    "                            .mean().plot();\n",
    "plt.ylim(0, 2.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sum and mean of December items count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mCqqow7S+ldOx9GPULb6KGgBb30REFFak5VdA5MlmoVrfsuRN6Eer6vE9e091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\nAO5+u2RLdgbSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcf0f5b7470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Fd2eVklGg5o391DokQFJZb3rn/jOSpL7dOBcMAPWNfwNvhTXz18AfhcvbbtPJM1lKyShQ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\nRIK9y8LVTwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcf0f5b74e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get dec sales per each day\n",
    "plt.style.use('seaborn')\n",
    "transactions[list(map(lambda x: x.month in [12] , transactions.date_format))].set_index('date_format').item_cnt_day.resample('D') \\\n",
    "                            .sum().plot();\n",
    "plt.ylim(0, 9000)\n",
    "plt.show()\n",
    "transactions[list(map(lambda x: x.month in [12] , transactions.date_format))].set_index('date_format').item_cnt_day.resample('D') \\\n",
    "                            .mean().plot();\n",
    "plt.ylim(0, 2.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
